Enterprise Knowledge, Powered by AI
Enterprise Knowledge, Powered by AI
Create and load knowledge bases in seconds for seamless retrieval-augmented generation (RAG).
Create and load knowledge bases in seconds for seamless retrieval-augmented generation (RAG).
How It Works
Enterprise knowledge at your fingertips, with cited answers every time.
How It Works
Enterprise knowledge at your fingertips, with cited answers every time.
How It Works
Enterprise knowledge at your fingertips, with cited answers every time.
step 1
Connect Your Data
Connect Your Data
Connect Your Data
Connect Your Data
Securely add your files to a knowledge base from SharePoint, Box, Google Drive, and more
Knowledge Sources
Select Knowledge Base
OR
Drag or click to upload
Upload or drop a file here
step 2
Indexing in Minutes
Indexing in Minutes
Indexing in Minutes
Indexing in Minutes
The knowledge base node indexes your files so the LLM can retrieve relevant information at query time.
step 3
Seamless RAG
Seamless RAG
Seamless RAG
Seamless RAG
When a user query comes in, the knowledge base node performs a vector search to find the most up-to-date, relevant information.
What is the purpose and the review criteria of this document?
The document describes the activities, processes, and practices involved in the development of Department of Defense systems.
Review criteria include the following:
- Mission definitions
- Assumptions and constraints
- Mission measures of succes
- Trades that are needed to inform mission refinement
Chunk 10
Eng-Def-Sys-2022.pdf
Chunk 22
Eng-Def-Sys-2022.pdf
Gabriel Mermelstein
AI Engineer at STACKAI
"With StackAI, you don't need a team of ML engineers to stand up a RAG pipeline. You drag in a Knowledge Base node, point it at your documents, and your AI agent is already answering questions with cited sources. Document parsing, chunking, embedding, vector search, citation linking takes basically just one click."
"With StackAI, you don't need a team of ML engineers to stand up a RAG pipeline. You drag in a Knowledge Base node, point it at your documents, and your AI agent is already answering questions with cited sources. Document parsing, chunking, embedding, vector search, citation linking takes basically just one click."
FAQ
Frequently Asked Questions
About AI Agents and the Enterprise AI Platform
FAQ
Frequently Asked Questions
About AI Agents and the Enterprise AI Platform
What exactly are AI agents, and how do they work?
Do I need technical skills or coding knowledge to use StackAI?
Can StackAI process unstructured documents (PDFs, scans, spreadsheets)?
Is StackAI secure enough for sensitive data?
How and where is our data stored when using StackAI?
Does StackAI support Computer Use?
What exactly are AI agents, and how do they work?
Do I need technical skills or coding knowledge to use StackAI?
Can StackAI process unstructured documents (PDFs, scans, spreadsheets)?
Is StackAI secure enough for sensitive data?
How and where is our data stored when using StackAI?
Does StackAI support Computer Use?
What exactly are AI agents, and how do they work?
Do I need technical skills or coding knowledge to use StackAI?
Can StackAI process unstructured documents (PDFs, scans, spreadsheets)?
Is StackAI secure enough for sensitive data?
How and where is our data stored when using StackAI?
Does StackAI support Computer Use?
Get started
Let’s Build AI Agents, Together
Book a demo to see how AI agents can help your team process unstructured documents and perform complex analysis faster and more accurately.
Get started
Let’s Build AI Agents, Together
Book a demo to see how AI agents can help your team process unstructured documents and perform complex analysis faster and more accurately.
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©2026 StackAI. All rights reserved